02035cam a22002777 4500001000700000003000500007005001700012008004100029100001700070245017000087260006600257490004200323500001900365520087900384530006101263538007201324538003601396690007201432700001501504700002301519700002101542710004201563830007701605856003801682856003701720w15621NBER20150802195900.0150802s2009 mau||||fs|||| 000 0 eng d1 aZheng, Siqi.14aThe Greenness of Chinah[electronic resource]:bHousehold Carbon Dioxide Emissions and Urban Development /cSiqi Zheng, Rui Wang, Edward L. Glaeser, Matthew E. Kahn. aCambridge, Mass.bNational Bureau of Economic Researchc2009.1 aNBER working paper seriesvno. w15621 aDecember 2009.3 aChina urbanization is associated with both increases in per-capita income and greenhouse gas emissions. This paper uses micro data to rank 74 major Chinese cities with respect to their household carbon footprint. We find that the "greenest" cities based on this criterion are Huaian and Suqian while the "dirtiest" cities are Daqing and Mudanjiang. Even in the dirtiest city (Daqing), a standardized household produces only one-fifth of that in America's greenest city (San Diego). We find that the average January temperature is strongly negatively correlated with a city's household carbon footprint, which suggests that current regional economic development policies that bolster the growth of China's northeastern cities are likely to increase emissions. We use our city specific income elasticity estimates to predict the growth of carbon emissions in China's cities. aHardcopy version available to institutional subscribers. aSystem requirements: Adobe [Acrobat] Reader required for PDF files. aMode of access: World Wide Web. 7aQ5 - Environmental Economics2Journal of Economic Literature class.1 aWang, Rui.1 aGlaeser, Edward L.1 aKahn, Matthew E.2 aNational Bureau of Economic Research. 0aWorking Paper Series (National Bureau of Economic Research)vno. w15621.4 uhttp://www.nber.org/papers/w1562141uhttp://dx.doi.org/10.3386/w15621